Prediction of Anaerobic Power From Standing Long Jump in NCAA Division IA Football Players
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Mann, J. Bryan [1] ; Bird, Michael [2] ; Signorile, Joseph F. [1] ; Brechue, William F. [3] ; Mayhew, Jerry L. [2]
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[1] University of Miami
University of Miami
Estados Unidos
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[2] Truman State University
Truman State University
Township of Benton, Estados Unidos
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[3] A. T. Still University of Health Sciences
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- Localización: Journal of strength and conditioning research: the research journal of the NSCA, ISSN 1064-8011, Vol. 35, Nº. 6, 2021, págs. 1542-1546
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
Despite the popularity of the standing long jump (SLJ), limited research has explored the estimation of power developed during this test. The purpose of this study was to determine SLJ power from jump distance and selected anthropometric measures in NCAA Division IA football players. Height (Ht), body mass (Wt), thigh length, and lower leg length (LL) were measured in 58 players, allowing calculation of leg ratios of thigh length[middle dot]Ht-1, LL[middle dot]Ht-1, and TL[middle dot]SL-1. Players performed 2-3 maximal familiarization trials of SLJ followed by 2 maximal jumps from a 3-dimension force plate sampling at 1,000 Hz. Standing long jump distance (intraclass correlation coefficient [ICC] = 0.944) and power (ICC = 0.926) calculated from resultant force and velocity vectors were highly reliable. Standing Ht (r = 0.40), Wt (r = 0.36), lower leg length (r = 0.43), total leg length (thigh + LLs) (r = 0.38), and best SLJ (r = 0.52) were significantly related (p < 0.05) to peak power, but none accounted for more than 27% of the common variance. Step-wise multiple regression identified SLJ and body mass as the only significant variables necessary to predict peak power (Power [W] = 32.49[middle dot]SLJ [cm] + 39.69[middle dot]Wt [kg] - 7,608, R = 0.86, SEE = 488 W, CV% = 9.3%). Standing long jump contributed 56.8% to the known variance, whereas Wt contributed 43.2%. Thus, a combination of SLJ and Wt can be used to effectively estimate explosive power in Division IA college football players.
